The graph represents a network of 7,836 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 12 February 2021 at 21:44 UTC.
The requested start date was Friday, 12 February 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 7-hour, 32-minute period from Tuesday, 09 February 2021 at 00:13 UTC to Thursday, 11 February 2021 at 07:46 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 7836
Unique Edges : 11608
Edges With Duplicates : 19654
Total Edges : 31262
Number of Edge Types : 5
Retweet : 4169
MentionsInRetweet : 9716
Replies to : 3037
Mentions : 14299
Tweet : 41
Self-Loops : 97
Reciprocated Vertex Pair Ratio : 0.0215738185095477
Reciprocated Edge Ratio : 0.042236435818262
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7798
Maximum Edges in a Connected Component : 31188
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.616657
Graph Density : 0.000295398359411979
Modularity : 0.407526
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,836 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 12 February 2021 at 21:44 UTC.
The requested start date was Friday, 12 February 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 7-hour, 32-minute period from Tuesday, 09 February 2021 at 00:13 UTC to Thursday, 11 February 2021 at 07:46 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : @CDCgov OR @CDC_eHealth OR @CDCemergency
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[871] lab,tests [870] tests,dummies [862] infectious,aerosols [861] exposure,potentially [860] potentially,infectious [860] aerosols,decreased [860] decreased,95 [860] 95,both [860] both,wore [859] cdcgov,lab Top Word Pairs in Tweet in G1:
[846] infectious,aerosols [844] lab,tests [844] tests,dummies [844] dummies,exposure [844] exposure,potentially [844] potentially,infectious [844] aerosols,decreased [844] decreased,95 [844] 95,both [844] both,wore Top Word Pairs in Tweet in G2:
[85] cdcgov,cdcdirector [83] cdcdirector,cdcgov [73] potus,vp [71] drsanjaygupta,cdcgov [63] help,prevent [61] #covid19,infection [61] cdcdirector,cdc [59] mask,help [58] cdc,recommends [58] recommends,wear Top Word Pairs in Tweet in G3:
[715] cdcgov,cdcmmwr [41] estudio,publicado [41] publicado,cdcmmwr [41] cdcmmwr,demuestra [41] demuestra,estados [41] estados,obligan [41] obligan,uso [41] uso,mascarilla [41] mascarilla,tienen [41] tienen,menor Top Word Pairs in Tweet in G4:
[56] florida,continues [56] continues,lead [56] lead,nation [56] nation,cases [56] cases,b117 [56] b117,#covid19 [56] #covid19,variant [56] variant,month [56] month,cases [56] cases,grown Top Word Pairs in Tweet in G5:
[80] michaelmina_lab,cdcgov [66] seanlucan,michaelmina_lab [63] cdcgov,image [63] image,burned [63] burned,everyone's [63] everyone's,retina [63] retina,picture [63] picture,worth [63] worth,000 [63] 000,words Top Word Pairs in Tweet in G6:
[206] senrickscott,cdcgov [40] covid,19 [30] incredible,news [30] cdcgov,florida [29] news,according [29] according,cdcgov [29] florida,receive [29] receive,340 [29] 340,600 [29] 600,additional Top Word Pairs in Tweet in G7:
[107] cdcgov,potus [83] repmikegarcia,gopleader [83] gopleader,cdcgov [63] repmikegarcia,cdcgov [42] reopen,schools [42] senronjohnson,cdcgov [41] safe,reopen [41] following,science [40] cdcgov,reported [40] reported,safe Top Word Pairs in Tweet in G8:
[148] usaidgh,cdcgov [148] cdcgov,asstsecstateaf [148] asstsecstateaf,presidence_rdc [148] presidence_rdc,inrb_kinshasa [148] inrb_kinshasa,mtamfum [146] usambdrc,whitehouse [143] whitehouse,omsrdcongo [143] omsrdcongo,usaidgh [141] mtamfum,minsanterdc [131] minsanterdc,longondoeteni Top Word Pairs in Tweet in G9:
[69] according,facebook's [69] facebook's,rules [69] rules,deplatform [69] deplatform,cdcgov [69] cdcgov,telling [69] telling,pregnant [69] pregnant,women [69] women,receive [68] utobian,according [68] receive,corona Top Word Pairs in Tweet in G10:
[42] #covid19,vaccine [37] receive,call [37] call,text [37] text,email [37] email,knock [37] knock,door [37] door,someone [37] someone,promises [37] promises,early [37] early,access Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G10: